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Recent Research on UAM/AAM Aircraft and Systems: Modeling, Advanced Control, and Emerging Technologies

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 7142

Special Issue Editors


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Guest Editor

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Guest Editor
Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China
Interests: electric aircraft; optimization; optimal control
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Special Issue Information

Dear Colleagues,

With the emergence of electric propulsive technologies in the past decade, electric vertical takeoff and landing (eVTOL) aircraft have gained an increased interest, which paves the path for sustainable urban air mobility (UAM) and advanced air mobility (AAM). eVTOL aircraft are characterized by distributed electric propulsion, which enables them to have high safety redundancies and zero-emission, thus providing access to convenient UAM/AAM. Nevertheless, challenges also arise from the implementation of UAM/AAM aircraft, which include, but are not limited to:

(1) Efficient operational strategy of sustainable UAM/AAM. UAM/AAM missions with complex airspace and strict safety requirements necessitate the use of eVTOL aircraft. It is of particular interest to investigate operational strategies that guarantee the safety level while reducing noise and saving energy.

(2) Multi-physical nature of eVTOL aircraft. The electric aircraft is governed by electric propulsive constraints that stem from power conservation among energy supply units (lithium-ion batteries, fuel cells, hydrogen cells, and solar cells), motors, and propellers/fans. The complex effects need to be reflected in the simulation model with suitable fidelity, which, in turn, serves as the cornerstone for improving operational efficiency.

(3) Practical energy management strategy. The endurance of eVTOL aircraft is significantly limited by state-of-the-art energy supply technology. Hence, there is an urgent need to provide an efficient energy management strategy to enlarge the coverage of vehicles, which calls for the integration of advanced algorithms into UAM/AAM systems.

(4) Energy-optimal scheduling of the UAM/AAM fleet. Unlike the current operational mode of airspace, which presets allowable routines for agents, the flexible use of airspace is applied. Specifically, FUA assumes airspace as a “continuum” where all the user requirements are satisfied to the greatest possible extent. Thus, it is of great importance to schedule the whole UAM/AAM fleet in one airspace with energy-optimal and safe operational routines.

(5)  Advanced and intelligent control laws are facilitating future applications. The envisioned widespread application of eVTOL aircraft necessitates more advanced and intelligent control laws that help reduce training costs and ease the burden on the pilot. The artificial intelligence (AI)-based control technique brings great potential for convenient aircraft operation. The key technology provides suggestions for flight management, making human pilots the center of the complex decision-making process.

Original research articles and reviews are welcome in this Special Issue. Research areas may include (but are not limited to) the following:

  • Development of operational strategies for sustainable air transportation;
  • Development of simulation models for UAM/AAM aircraft and systems;
  • Development of energy management strategy and energy-optimal control methods for eVTOL agents driven by various types of energy supply units;
  • Advanced and intelligent control law design facilitating future applications;
  • Air traffic management strategy that maximizes the UAM/AAM system efficiency;
  • Other innovative technologies and progress applied to UAM/AAM.

We look forward to receiving your contributions.

You may choose our Joint Special Issue in Aerospace.

Prof. Dr. Shu-Guang Zhang
Dr. Mingkai Wang
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • green air mobility
  • sustainable air transportation
  • urban air traffic
  • advanced air mobility
  • electric propulsion
  • vertical takeoff and landing
  • sustainable energy

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Published Papers (3 papers)

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Research

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30 pages, 10867 KiB  
Article
Research on eVTOL Air Route Network Planning Based on Improved A* Algorithm
by Mian Ye, Jinchen Zhao, Quanli Guan and Xuejun Zhang
Sustainability 2024, 16(2), 561; https://doi.org/10.3390/su16020561 - 9 Jan 2024
Cited by 7 | Viewed by 2448
Abstract
With the continuous opening of low-altitude airspace and the development of aircraft such as electric vertical takeoff and landing (eVTOL) vehicles, urban air traffic has become a sustainable and green development direction for future transportation. Air route networks, as a mainstream design scheme [...] Read more.
With the continuous opening of low-altitude airspace and the development of aircraft such as electric vertical takeoff and landing (eVTOL) vehicles, urban air traffic has become a sustainable and green development direction for future transportation. Air route networks, as a mainstream design scheme for air traffic, are able to provide prerequisites for eVTOL and other green aircraft to enter urban airspace for safe operation, among which air route planning is a fundamental component of air route network design. Currently, most of the research on aircraft path planning is performed in free airspace, lacking the analysis and processing for the complex operation environment, which has led to the high risk and large operation cost of path planning results, failing to meet the demand for safe and efficient development in the future. Aiming at the above problems, eVTOL-oriented air route planning research was carried out. Firstly, the urban low-altitude airspace structure was planned, and the operational levels of eVTOL were clarified; this was followed by introducing the urban dynamic air–ground risk factors and constructing a dynamic risk assessment model containing risk level information; finally, the improved A* algorithm based on the risk cost was employed to plan the eVTOL air route network, which finally realized the purpose of short path length and low total risk. The simulation results showed that the route generated by the improved A* algorithm could reduce the risk cost by at least 30% with a relatively small path cost, which ensured the operation efficiency and safety of eVTOLs and laid the foundation for the further sustainable and green development of urban airspace in the future. Full article
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22 pages, 5133 KiB  
Article
Electric Flight in Extreme and Uncertain Urban Environments
by Mingkai Wang, Saulo O. D. Luiz, Shuguang Zhang and Antonio M. N. Lima
Sustainability 2023, 15(16), 12590; https://doi.org/10.3390/su151612590 - 19 Aug 2023
Viewed by 1221
Abstract
In a typical application scenario for electric aircraft, the emerging urban air mobility is faced with uncertain environmental conditions. To investigate the potential influence of uncertainties, this paper first develops comprehensive models of aircraft rigid body motion and electric propulsive performance. The urban [...] Read more.
In a typical application scenario for electric aircraft, the emerging urban air mobility is faced with uncertain environmental conditions. To investigate the potential influence of uncertainties, this paper first develops comprehensive models of aircraft rigid body motion and electric propulsive performance. The urban environment model is built with emphasis on wind speed and the heat island effect. Thereafter, a flight guidance law augmented with nonlinear dynamic inversion is proposed to facilitate the performance evaluation of electric aircraft. Multiple simulations at various dates, times, and with different battery aging statuses are conducted. The results show that the battery aging effect and ambient temperature change are the most important factors that influence the aircraft performance. Suggestions to enhance the performance are given based on simulations. Full article
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Review

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22 pages, 3355 KiB  
Review
A Review of Electric UAV Visual Detection and Navigation Technologies for Emergency Rescue Missions
by Peng Tang, Jiyun Li and Hongqiang Sun
Sustainability 2024, 16(5), 2105; https://doi.org/10.3390/su16052105 - 3 Mar 2024
Cited by 2 | Viewed by 1939
Abstract
Sudden disasters often result in significant losses of human lives and property, and emergency rescue is a necessary response to disasters. In recent years, with the development of electric unmanned aerial vehicles (UAVs) and artificial intelligence technology, the combination of these technologies has [...] Read more.
Sudden disasters often result in significant losses of human lives and property, and emergency rescue is a necessary response to disasters. In recent years, with the development of electric unmanned aerial vehicles (UAVs) and artificial intelligence technology, the combination of these technologies has been gradually applied to emergency rescue missions. However, in the face of the complex working conditions of emergency rescue missions, the application of electric UAV visual detection still faces great challenges, particularly in relation to a lack of GPS positioning signal in closed emergency rescue environments, as well as unforeseen obstacle avoidance and autonomous planning and searching flights. Although the combination of visual detection and visual navigation technology shows great potential and added value for use in the context of emergency rescue, at present it remains in the research and experimental stages. Consequently, this paper summarizes and discusses the current status and development of visual detection and navigation technologies for electric UAVs, as well as issues related to emergency rescue applications, with a view to accelerating the research and application of visual detection and navigation technologies for electric UAVs in emergency rescue missions. In this study, we first summarize the classification of typical disasters, analyze the application of sample UAV and configurations in typical disasters with a high frequency of occurrence, refine key electric UAV technologies in emergency rescue missions, and propose the value of exploring electric UAV visual detection and navigation technologies. Subsequently, current research on electric UAV visual detection and navigation technology is analyzed and its application in emergency rescue missions is discussed. Finally, this paper presents the problems faced in the application of electric UAV visual detection and navigation technology in urban emergency rescue environments and offers insights into future research directions. Full article
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